UNIT 10 – BIG DATA AND
BUSINESS ANALYTICS
ASSIGNMENT 1
Add your name here
MARCH 20, 2022
,Contents
Introduction..........................................................................................................................................4
What is Big Data...................................................................................................................................4
The Five V's...........................................................................................................................................4
Volume..............................................................................................................................................5
Velocity.............................................................................................................................................5
Variety..............................................................................................................................................5
Veracity.............................................................................................................................................5
Value.................................................................................................................................................5
The reasons why organisations analyse data, including strategic planning, improving productivity
and product and/or service benchmarking..........................................................................................6
Strategic Planning.............................................................................................................................6
Improving Productivity.....................................................................................................................6
Product/ Service Benchmarking.......................................................................................................7
Big Data at Facebook............................................................................................................................8
The technology used at Facebook ..................................................................................................9
Example of use of Big Data at Facebook .........................................................................................9
Facial Recognition .......................................................................................................................9
Amazon...............................................................................................................................................11
Use of Big Data at Amazon.............................................................................................................11
Alexa Voice Recording................................................................................................................11
System of Personalised Recommendation.................................................................................12
One-Click Ordering.....................................................................................................................12
How Amazon implement Big Data.................................................................................................12
Optimisation of the Supply Chain...............................................................................................12
Optimising Prices........................................................................................................................12
Persuade customers to purchase more with each order...........................................................13
Amazon vs Facebook Summary..........................................................................................................13
General challenges of analysing data including costs, skills required and security issues................14
Costs...............................................................................................................................................14
Skills................................................................................................................................................15
Security...........................................................................................................................................15
The ethical and legislate factors that govern the gathering, access and storage of data.................16
1|Page
,Data protection act 1998....................................................................................................................17
Fair and Lawful...............................................................................................................................17
Purposes.........................................................................................................................................17
Adequacy........................................................................................................................................18
Accuracy.........................................................................................................................................18
Retention........................................................................................................................................18
Rights..............................................................................................................................................18
Security...........................................................................................................................................18
International transfers....................................................................................................................19
Data Protection Act 2018...................................................................................................................19
Data Subject....................................................................................................................................19
Data Processor................................................................................................................................19
Data Controller...............................................................................................................................20
Personal Data.................................................................................................................................20
Data protection and Business.........................................................................................................20
GDPR General Guidelines for organisations:......................................................................................20
Data Controller...............................................................................................................................21
Data Protection Officer (DPO)........................................................................................................21
Guiding principles of GDPR.............................................................................................................22
1. Legality, justice, and openness...............................................................................................22
2. Purpose restriction.................................................................................................................23
3. Minimization of data..............................................................................................................23
4. Accuracy..................................................................................................................................23
5. Lack of storage........................................................................................................................23
6. Confidentiality and integrity...................................................................................................23
7. Accountability.........................................................................................................................23
Qualitative......................................................................................................................................24
Quantitative....................................................................................................................................24
Internal...........................................................................................................................................25
External...........................................................................................................................................25
Storing data including structured and unstructured data, system-based factors and security........26
Structured Data..............................................................................................................................26
Unstructured Data..........................................................................................................................26
System Based Factors.....................................................................................................................26
2|Page
, Data warehouses and Data marts and Data lakes.............................................................................27
Apache Hadoop..................................................................................................................................27
Analysing big data and the challenges involved including the skills and technology needed...........28
The different types of business analytics (descriptive, diagnostic, predictive, prescriptive)............29
Descriptive......................................................................................................................................29
Diagnostic.......................................................................................................................................29
Predictive........................................................................................................................................30
Prescriptive.....................................................................................................................................30
The benefits and challenges to organisations that may arise from the collection, storage and
analysis of organisational data, with particular reference to big data..............................................31
Evaluation...........................................................................................................................................32
Future of Big Data Analytics...........................................................................................................33
Future of Artificial Intelligence.......................................................................................................34
Conclusion..........................................................................................................................................35
References..........................................................................................................................................35
3|Page
BUSINESS ANALYTICS
ASSIGNMENT 1
Add your name here
MARCH 20, 2022
,Contents
Introduction..........................................................................................................................................4
What is Big Data...................................................................................................................................4
The Five V's...........................................................................................................................................4
Volume..............................................................................................................................................5
Velocity.............................................................................................................................................5
Variety..............................................................................................................................................5
Veracity.............................................................................................................................................5
Value.................................................................................................................................................5
The reasons why organisations analyse data, including strategic planning, improving productivity
and product and/or service benchmarking..........................................................................................6
Strategic Planning.............................................................................................................................6
Improving Productivity.....................................................................................................................6
Product/ Service Benchmarking.......................................................................................................7
Big Data at Facebook............................................................................................................................8
The technology used at Facebook ..................................................................................................9
Example of use of Big Data at Facebook .........................................................................................9
Facial Recognition .......................................................................................................................9
Amazon...............................................................................................................................................11
Use of Big Data at Amazon.............................................................................................................11
Alexa Voice Recording................................................................................................................11
System of Personalised Recommendation.................................................................................12
One-Click Ordering.....................................................................................................................12
How Amazon implement Big Data.................................................................................................12
Optimisation of the Supply Chain...............................................................................................12
Optimising Prices........................................................................................................................12
Persuade customers to purchase more with each order...........................................................13
Amazon vs Facebook Summary..........................................................................................................13
General challenges of analysing data including costs, skills required and security issues................14
Costs...............................................................................................................................................14
Skills................................................................................................................................................15
Security...........................................................................................................................................15
The ethical and legislate factors that govern the gathering, access and storage of data.................16
1|Page
,Data protection act 1998....................................................................................................................17
Fair and Lawful...............................................................................................................................17
Purposes.........................................................................................................................................17
Adequacy........................................................................................................................................18
Accuracy.........................................................................................................................................18
Retention........................................................................................................................................18
Rights..............................................................................................................................................18
Security...........................................................................................................................................18
International transfers....................................................................................................................19
Data Protection Act 2018...................................................................................................................19
Data Subject....................................................................................................................................19
Data Processor................................................................................................................................19
Data Controller...............................................................................................................................20
Personal Data.................................................................................................................................20
Data protection and Business.........................................................................................................20
GDPR General Guidelines for organisations:......................................................................................20
Data Controller...............................................................................................................................21
Data Protection Officer (DPO)........................................................................................................21
Guiding principles of GDPR.............................................................................................................22
1. Legality, justice, and openness...............................................................................................22
2. Purpose restriction.................................................................................................................23
3. Minimization of data..............................................................................................................23
4. Accuracy..................................................................................................................................23
5. Lack of storage........................................................................................................................23
6. Confidentiality and integrity...................................................................................................23
7. Accountability.........................................................................................................................23
Qualitative......................................................................................................................................24
Quantitative....................................................................................................................................24
Internal...........................................................................................................................................25
External...........................................................................................................................................25
Storing data including structured and unstructured data, system-based factors and security........26
Structured Data..............................................................................................................................26
Unstructured Data..........................................................................................................................26
System Based Factors.....................................................................................................................26
2|Page
, Data warehouses and Data marts and Data lakes.............................................................................27
Apache Hadoop..................................................................................................................................27
Analysing big data and the challenges involved including the skills and technology needed...........28
The different types of business analytics (descriptive, diagnostic, predictive, prescriptive)............29
Descriptive......................................................................................................................................29
Diagnostic.......................................................................................................................................29
Predictive........................................................................................................................................30
Prescriptive.....................................................................................................................................30
The benefits and challenges to organisations that may arise from the collection, storage and
analysis of organisational data, with particular reference to big data..............................................31
Evaluation...........................................................................................................................................32
Future of Big Data Analytics...........................................................................................................33
Future of Artificial Intelligence.......................................................................................................34
Conclusion..........................................................................................................................................35
References..........................................................................................................................................35
3|Page
